Kiruthiga, R and Akila, D. (2019) Phishing Websites Detection using Machine Learning. International Journal of Recent Technology and Engineering, 8 (2S11). pp. 111-114. ISSN 2277-3878
![[thumbnail of B10180982S1119.pdf]](https://ir.vistas.ac.in/style/images/fileicons/text.png) Text
            
              
Text
B10180982S1119.pdf
Download (385kB)
Abstract
Phishing Websites Detection using Machine Learning
Phishing is a common attack on credulous people by making them to disclose their unique information using counterfeit websites. The objective of phishing website URLs is to purloin the personal information like user name, passwords and online banking transactions. Phishers use the websites which are visually and semantically similar to those real websites. As technology continues to grow, phishing techniques started to progress rapidly and this needs to be prevented by using anti-phishing mechanisms to detect phishing. Machine learning is a powerful tool used to strive against phishing attacks. This paper surveys the features used for detection and detection techniques using machine learning
   11 2 2019   111 114   B10180982S1119   10.35940/ijrte.B1018.0982S1119 https://www.ijrte.org/wp-content/uploads/papers/v8i2S11/B10180982S1119.pdf   https://www.ijrte.org/wp-content/uploads/papers/v8i2S11/B10180982S1119.pdf
| Item Type: | Article | 
|---|---|
| Subjects: | Computer Science > Web Technologies | 
| Domains: | Computer Science | 
| Depositing User: | Mr IR Admin | 
| Date Deposited: | 06 Oct 2024 07:00 | 
| Last Modified: | 11 Sep 2025 09:33 | 
| URI: | https://ir.vistas.ac.in/id/eprint/8849 | 



 Dimensions
 Dimensions Dimensions
 Dimensions